Newsletter - April 2026

📘 Data Definition: Data catalogue

A Data catalogue is a repository of data assets with detailed contextual information about that data. In larger organisations, where ecosystems are fragmented, it provides a unified source of truth, allowing teams to understand and share data across the enterprise. 

💡Why it matters now: Data catalogues have become the gold standard for metadata management. They are essential for organising data assets - allowing users to quickly locate datasets for analytical and business purposes. 

👤 Ownership: Data catalogues are a shared responsibility between chief data officers, data stewards, data owners, and data analysts.

⚠️ Common pitfalls:

➡️ Choosing lightweight metadata tools that lack the necessary connectors for broader integration.
➡️ Over-reliance on automation in data curation, missing broader business context. 
➡️ Ignoring multi-team needs, reducing adoption and effectiveness.

Find out more

Data Governance Politics 

“The biggest roadblock to good data governance is often... company politics.”

Ah yes, the human hurdles of data management! Definitely not to be ignored, and Tiankai Feng outlines why with his fantastic infographic.

Office dynamics can be complicated, but they are very much addressable and should be addressed when problems occur. 

According to Tiankai, political barriers fall into six categories:

1️⃣ Disjointed goals (departments moving in opposite directions)
2️⃣ Reward misalignment (those doing the work don't see the benefits)
3️⃣ Private objectives (career-climbing taking precedence over data health)
4️⃣ Tactical tunnel vision (choosing quick over sustainable architecture)
5️⃣ One-way directives (leadership talking at teams rather than listening)
6️⃣ Ownership void (when responsibility is so broad it becomes invisible)

Interestingly, we've seen ownership problems becoming a critical failure point for enterprise AI so far this year.

Curious?

An Act of Faith?

Data governance is an act of faith until data quality provides the evidence. 

IT Brief UK provides quite the reality check for where we stand in 2026 on data governance and the equal importance of quality data. 

In the past, running a profiling tool would find 5,000 duplicates, clean them up, and that would be a job well done. However, data decay happens in real-time. With the explosion of edge computing and IoT, data is becoming stale faster than most can document it.

💡 A potential solution is to reposition data observability as the enforcement arm of data governance. 

Instead of a monthly report, consider automated circuit breakers. If a schema drift occurs or a null-rate spikes at ingestion, the pipeline should autonomously quarantine the data before it hits the AI training set.

Discover more...

📣 New article alert!

In 2026, data leadership is less about volume, and more about how quickly data can be used thoughtfully to drive action.

The central challenge is the same though: How do we grant teams the autonomy to innovate without losing the governance required for integrity?

In this latest DAMA article, we take a look at the shift from centralised ‘fortresses’ to a governed data mesh, why the single source of truth is becoming a single point of discovery, and what it really means to treat data as a product in the agentic era.

👉 Click the link to read the full article: Click here to read

🤝 DAMA UK is pleased to announce a new partnership!

We’re teaming up with Kogan Page - a leading independent publisher of award-winning business books from global experts, academics and specialist professionals.

Kogan Page has been a publisher of industry-leading content since 1967, with a broad range of titles spanning data, AI, and digital disciplines, alongside a wider range of business topics.

This new partnership comes with exciting news for DAMA UK members, who now have access to a dedicated DAMA UK Members’ Bookstore.

You can visit by clicking the link right here: https://www.koganpage.com/dama-uk-members-bookstore

The Behaviour Problem in Data Governance

This latest public webinar is led by Andy Bradley, Head of Strategy and Adoption at Telefónica Tech. Andy works at the intersection of data governance, operating models, and organisational change, helping move from frameworks on paper to practices that hold under real delivery pressure.

In this session, he’ll explain why most data governance failures are not caused by frameworks, tooling, or policy (despite misconceptions).

Some key areas this webinar will cover:

✅ Why governance intensity diminishes as delivery pressure increases
✅ How ambiguity around ownership creates behavioural shortcuts
✅ Why governance becomes optional when incentives reward speed over stewardship
✅ How AI exposes structural weaknesses in governance through speed, abstraction, and autonomy

👉 To find out more simply click the link right here!

The Data & AI Mindshift - Ben Clinch, an industry expert in data management and data architecture.

 Rewatch here

Can you escape the data quality vault? 

Join us at the Scottish head office of Lloyds Banking Group at The Mound, Edinburgh, EH1 1YZ, on June 2nd, between 9am and 12pm and try your luck at cracking the code to break out of the data quality vault. 

Well, not literally – but during the morning you’ll be able to experience data quality escape rooms designed to illustrate basic data management concepts in a fun and engaging way.

Click here to register

DAMA UK and BCS are pleased to come together to deliver the Data Conference 2026.

As data and AI become more embedded in everyday decision‑making, organisations are facing new questions about skills, trust, quality, and leadership. This joint conference will explore how data roles and human impact are evolving in an AI‑enabled world, and what this means in practice for organisations and the people working within them.

Across the day we will touch on:

The changing shape of data roles
Data quality in the age of generative AI
Ethics, trust, and responsible data and AI
Culture, collaboration, and data leadership

Join the DAMA UK and BCS communities for practical insight, shared learning, and thoughtful discussion on how people, data, and AI need to evolve together.

Click here to register

All Things Data Governance & Data Literacy

In this latest webinar, Satya Jayanty led us through the practical side of data governance, using DAMA principles and real organisational practices. 

Designed especially for data and business leaders, governance practitioners, and business stakeholders who want to put effective governance into practice rather than simply documenting policies.

👉 Replay it here here